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Thrill

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Thrill is an EXPERIMENTAL C++ framework for algorithmic distributed Big Data batch computations on a cluster of machines. It is currently being designed and developed as a research project at Karlsruhe Institute of Technology and is in early testing. More information on goals and mission see http://project-thrill.org.

For easy steps on Getting Started refer to the Live Documentation.

License

Thrill is free software provided under BSD 2-clause license.

If you use Thrill in an academic context or publication, please cite our paper

@InProceedings{bingmann2016thrill,
  author =       {Timo Bingmann and Michael Axtmann and Emanuel J{\"{o}}bstl and Sebastian Lamm and Huyen Chau Nguyen and Alexander Noe and Sebastian Schlag and Matthias Stumpp and Tobias Sturm and Peter Sanders},
  title =        {{Thrill}: High-Performance Algorithmic Distributed Batch Data Processing with {C++}},
  booktitle =    {IEEE International Conference on Big Data},
  year =         2016,
  pages =        {172--183},
  month =        dec,
  organization = {IEEE},
  note =         {preprint arXiv:1608.05634},
  isbn =         {978-1-4673-9005-7},
}

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Thrill - An EXPERIMENTAL Algorithmic Distributed Big Data Batch Processing Framework in C++

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